出版时间：2020.10
官网链接：algorist.com
下载地址：百度网盘(truePDF)
提取码 ：rke2
内容简介：
This newly expanded and updated third edition of the best-selling classic continues to take the “mystery” out of designing algorithms, and analyzing their efficacy and efficiency. Expanding on the first and second editions, the book now serves as the primary textbook of choice for algorithm design courses while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Techniques, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, Resources, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations and an extensive bibliography.
You can purchase The Algorithm Design Manual on Amazon or directly from Springer.
From the Publisher
This newly expanded and updated third edition of the best-selling classic continues to take the “mystery” out of designing algorithms, and analyzing their efficiency. It serves as the primary textbook of choice for algorithm design courses and interview self-study, while maintaining its status as the premier practical reference guide to algorithms for programmers, researchers, and students.
The reader-friendly Algorithm Design Manual provides straightforward access to combinatorial algorithms technology, stressing design over analysis. The first part, Practical Algorithm Design, provides accessible instruction on methods for designing and analyzing computer algorithms. The second part, the Hitchhiker’s Guide to Algorithms, is intended for browsing and reference, and comprises the catalog of algorithmic resources, implementations, and an extensive bibliography.
More Information
Supplementary material can be found at my CSE 373 (Analysis of Algorithms) course page. Lecture videos for my classes on Data Science, Analysis of Algorithms, Computational Biology, and more are on Youtube. Take a look at them if you have the chance.